🐦 Twitter Post Details

Viewing enriched Twitter post

@HamelHusain

This is Huge! 🥳 Half of the conversations around LLMs are “Will this fit on my GPU[s]?” And this calculator makes it much easier. There are some important nuances for LoRA and I took notes on that here: https://t.co/Bct28Wwhea https://t.co/MilXje5IVB

Media 1
Media 2

📊 Media Metadata

{
  "media": [
    {
      "url": "https://pbs.twimg.com/media/F4oMkGracAEhtyb.png",
      "type": "photo"
    },
    {
      "url": "https://pbs.twimg.com/media/F4oMn_Ua0AAEaLG.png",
      "type": "photo"
    }
  ],
  "nlp": {
    "sentiment": "positive",
    "processed_at": "2025-08-06T12:54:52.830325"
  },
  "score": 1.0,
  "scored_at": "2025-08-09T13:46:07.546870",
  "import_source": "manual_curation_2023",
  "score_components": {
    "author": 0.09,
    "engagement": 0.1364582394846385,
    "quality": 0.13999999999999999,
    "source": 0.15,
    "nlp": 0.1,
    "recency": 0.010000000000000002
  },
  "source_tagged_at": "2025-08-09T13:43:12.091337",
  "enriched": true,
  "enriched_at": "2025-08-09T13:43:12.091341",
  "links_checked": true,
  "checked_at": "2025-08-10T10:32:37.574055",
  "original_structure": "had_media_only",
  "enhanced_from_raw_response": true,
  "enhanced_at": "2025-08-13T17:10:00Z",
  "extracted_from_extended_entities": true,
  "extracted_at": "2025-08-14T04:30:00Z"
}

🔧 Raw API Response

{
  "user": {
    "created_at": "2012-09-15T18:45:02.000Z",
    "default_profile_image": false,
    "description": "Researcher focusing on LLMs: https://t.co/iVZDFdIQiE \n\nPreviously, dev tools and infra for ML.  Ex @Github, @Airbnb, @DataRobot. @fastdotai core contributor.",
    "fast_followers_count": 0,
    "favourites_count": 9874,
    "followers_count": 17039,
    "friends_count": 1515,
    "has_custom_timelines": true,
    "is_translator": false,
    "listed_count": 422,
    "location": "Portland, OR",
    "media_count": 626,
    "name": "Hamel Husain",
    "normal_followers_count": 17039,
    "possibly_sensitive": false,
    "profile_banner_url": "https://pbs.twimg.com/profile_banners/825766640/1661535109",
    "profile_image_url_https": "https://pbs.twimg.com/profile_images/1287206199088173057/ixE4fKy1_normal.jpg",
    "screen_name": "HamelHusain",
    "statuses_count": 7995,
    "translator_type": "none",
    "url": "https://t.co/mBx5zIJYEA",
    "verified": false,
    "withheld_in_countries": [],
    "id_str": "825766640"
  },
  "id": "1696182174024962549",
  "conversation_id": "1696182174024962549",
  "full_text": "This is Huge! 🥳  Half of the conversations around LLMs are “Will this fit on my GPU[s]?” And this calculator makes it much easier.  \n\nThere are some important nuances for LoRA and I took notes on that here:\n\nhttps://t.co/Bct28Wwhea https://t.co/MilXje5IVB",
  "reply_count": 8,
  "retweet_count": 69,
  "favorite_count": 397,
  "hashtags": [],
  "symbols": [],
  "user_mentions": [],
  "urls": [
    {
      "url": "https://t.co/Bct28Wwhea",
      "expanded_url": "https://hamel.dev/notes/llm/03_estimating_vram.html",
      "display_url": "hamel.dev/notes/llm/03_e…"
    }
  ],
  "media": [
    {
      "media_url": "https://pbs.twimg.com/media/F4oMkGracAEhtyb.png",
      "type": "photo"
    },
    {
      "media_url": "https://pbs.twimg.com/media/F4oMn_Ua0AAEaLG.png",
      "type": "photo"
    }
  ],
  "url": "https://twitter.com/HamelHusain/status/1696182174024962549",
  "created_at": "2023-08-28T15:25:18.000Z",
  "#sort_index": "1696182174024962549",
  "view_count": 106239,
  "quote_count": 3,
  "is_quote_tweet": true,
  "is_retweet": false,
  "is_pinned": false,
  "is_truncated": false,
  "quoted_tweet": {
    "user": {
      "created_at": "2016-04-15T16:54:07.000Z",
      "default_profile_image": false,
      "description": "🤗 MLSE working on Accelerate |  Passionate about Open Source | Nerd who enjoys touching the grass | #ADHD | He/Him/We",
      "fast_followers_count": 0,
      "favourites_count": 28273,
      "followers_count": 8704,
      "friends_count": 327,
      "has_custom_timelines": true,
      "is_translator": false,
      "listed_count": 193,
      "location": "",
      "media_count": 1545,
      "name": "Zach Mueller",
      "normal_followers_count": 8704,
      "possibly_sensitive": false,
      "profile_banner_url": "https://pbs.twimg.com/profile_banners/721018777664626688/1665150558",
      "profile_image_url_https": "https://pbs.twimg.com/profile_images/1571624677080010764/FWhg6yLl_normal.jpg",
      "screen_name": "TheZachMueller",
      "statuses_count": 13075,
      "translator_type": "none",
      "url": "https://t.co/yBmBqMwesX",
      "verified": false,
      "withheld_in_countries": [],
      "id_str": "721018777664626688"
    },
    "id": "1696157965890339148",
    "conversation_id": "1696157965890339148",
    "full_text": "Excited to announce a new @huggingface space to help with one of machine learning's biggest questions:\n\nHow much space does {X} model take in vRAM? And most importantly: when using `device_map=\"auto\"`\n\nhttps://t.co/kmQCuPeAdM https://t.co/b2xQRreucD",
    "reply_count": 15,
    "retweet_count": 123,
    "favorite_count": 522,
    "hashtags": [],
    "symbols": [],
    "user_mentions": [
      {
        "id_str": "778764142412984320",
        "name": "Hugging Face",
        "screen_name": "huggingface",
        "profile": "https://twitter.com/huggingface"
      }
    ],
    "urls": [
      {
        "url": "https://t.co/kmQCuPeAdM",
        "expanded_url": "https://huggingface.co/spaces/hf-accelerate/model-memory-usage",
        "display_url": "huggingface.co/spaces/hf-acce…"
      }
    ],
    "media": [
      {
        "media_url": "https://pbs.twimg.com/ext_tw_video_thumb/1696151830001029120/pu/img/jvMdpLrR8kxAYeLT.jpg",
        "type": "video",
        "video_url": "https://video.twimg.com/ext_tw_video/1696151830001029120/pu/vid/1920x1080/QKPyE4aTLhH_0RwI.mp4?tag=14"
      }
    ],
    "url": "https://twitter.com/TheZachMueller/status/1696157965890339148",
    "created_at": "2023-08-28T13:49:06.000Z",
    "#sort_index": "1696182174024962600",
    "view_count": 132835,
    "quote_count": 15,
    "is_quote_tweet": false,
    "is_retweet": false,
    "is_pinned": false,
    "is_truncated": false
  },
  "startUrl": "https://twitter.com/hamelhusain/status/1696182174024962549"
}